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--- |
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annotations_creators: |
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- found |
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language: |
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- en |
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language_creators: |
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- found |
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license: |
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- unknown |
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multilinguality: |
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- monolingual |
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pretty_name: scientific_lay_summarisation |
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size_categories: |
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- 10K<n<100K |
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- 1K<n<10K |
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source_datasets: |
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- original |
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tags: |
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- scientific papers |
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- lay summarization |
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- PLOS |
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- eLife |
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task_categories: |
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- summarization |
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task_ids: [] |
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--- |
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# Dataset Card for "scientific_lay_summarisation" |
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### Dataset Summary |
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This repository contains the PLOS and eLife datasets, introduced in the EMNLP 2022 paper "[Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature |
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](https://arxiv.org/abs/2210.09932)" . |
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Each dataset contains full biomedical research articles paired with expert-written lay summaries (i.e., non-technical summaries). PLOS articles are derived from various journals published by [the Public Library of Science (PLOS)](https://plos.org/), whereas eLife articles are derived from the [eLife](https://elifesciences.org/) journal. More details/anlaysis on the content of each dataset are provided in the paper. |
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### Supported Tasks and Leaderboards |
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Papers with code - [PLOS](https://paperswithcode.com/sota/lay-summarization-on-plos) and [eLife](https://paperswithcode.com/sota/lay-summarization-on-elife). |
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### Languages |
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English |
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## Dataset Structure |
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### Data Instances |
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[More Information Needed] |
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### Data Fields |
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[More Information Needed] |
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### Data Splits |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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``` |
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"Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature" |
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Tomas Goldsack, Zhihao Zhang, Chenghua Lin, Carolina Scarton |
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EMNLP 2022 |
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``` |
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### Contributions |
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Thanks to [@TGoldsack1](https://github.com/TGoldsack1) for adding this dataset. |
